Artificial Intelligence Multiomics in Precision Oncology / Ruby Srivastava.

Format:

Book

Author/Creator:

Srivastava, Ruby, author.

Language:

English

Subjects (All):

Artificial intelligence.

Artificial intelligence--Design and construction.

Physical Description:

1 online resource (517 pages)

Edition:

First edition.

Place of Publication:

Newcastle upon Tyne, England : Cambridge Scholars Publishing, [2023]

Summary:

Advances in next-generation technology (NGS) coupled with a deep understanding of cancer biology have promoted the rational design of target therapy towards precision oncology. Artificial Intelligence (AI)-integrated machine learning techniques are also increasingly used today to tackle the challenges of scalability and high dimensionality data and to transform multiomics data into clinically actionable knowledge. AI tools are used to support clinical decision making and improve clinical efficiency, while delivering safe and high value care. This book provides comprehensive analysis of such techniques and advancements of AI-based clinical cancer research in the improvement of cancer prognosis and diagnosis, resulting in enhanced prediction rates and survival of cancer patients.

Contents:

Intro

Dedication

Table of Contents

Preface

Acknowledgements

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11

Chapter 12

Chapter 13.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Other Format:

Print version: Srivastava, Ruby Artificial Intelligence Multiomics in Precision Oncology

ISBN:

9781527500891

OCLC:

1375296900